Published in

Institute of Electrical and Electronics Engineers, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(7), p. 1512-1521, 2014

DOI: 10.1109/jstars.2014.2320597

Links

Tools

Export citation

Search in Google Scholar

Normalized Microwave Reflection Index: Validation of Vegetation Water Content Estimates From Montana Grasslands

Journal article published in 2014 by Eric E. Small, Kristine M. Larson, William Kolby Smith ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

The Normalized Microwave Reflection Index (NMRI) measures the intensity of GPS reflections, which is affected by vegetation within $sim{bf 100}nbsphbox{bf m}$ of GPS antennas. In a companion paper, the theoretical basis for NMRI and how it is derived from data archived at geodetic GPS installations are described. NMRI is calculated by normalizing the standard GPS metric ${bf MP}_{bf 1}{bf rms}$ on a site-by-site basis to minimize terrain effects. Here, we validate NMRI as a metric for estimating vegetation water content (VWC) and evaluate the normalization procedure. In situ measurements of plant height, biomass, and VWC were taken on a biweekly basis during 2012 at four grassland sites in Montana. These measurements were compared to time series of ${bf MP}_{bf 1}{bf rms}$ , NMRI, and Normalized Difference Vegetation Index (NDVI) from each site. At each site, a significant linear relationship exists between ${bf MP}_{bf 1}{bf rms}$ and VWC. However, this relationship is not consistent across sites. Once normalized, a linear relationship exists between NMRI and VWC ( ${bf r}^{bf 2} = {bf 0.71}$ ) that is consistent across the four sites. This suggests that VWC could be predicted from NMRI at sites without in situ observations, as long as vegetation and climate are similar. There is no clear relationship between NMRI and either vegetation height or biomass. The importance of normalization is shown using data from eight additional sites. After normalization, a strong positive correlation is apparent between NMRI and NDVI across all grassland GPS sites in Mo- tana.